Artificial Analysis | https://artificialanalysis.ai | Full Stack Engineer, ML Engineer, Member of Technical Staff | Onsite in San Francisco or in Australia/New Zealand | Competitive Salary + Equity
Artificial Analysis is an independent AI benchmarking and insights provider. We benchmark AI to help engineers and companies understand AI and make informed decisions regarding which AI technologies to use. We are fast growing with a team of 20 and have backing from investors including Nat Friedman, Daniel Gross & Andrew Ng.
We are hiring for four roles:
1. Full Stack Engineer: Full Stack Engineer to support our benchmarking of AI and with communicating these benchmarks to our users. Proficiency in Typescript & Python required. Familiarity with LLM APIs preferred. Tech stack: Javascript/Typescript, Node.js, React/Next.js, Python.
2. ML Engineer: ML Engineer to support our benchmarking and evaluation of AI software stack. You will design and run benchmarks and evaluations of different AI models. Strong analytical skills and proficiency in Python required.
3. Member of Technical Staff: You will develop benchmarks to test AI models and work to translate technical insights to analysis that helps companies navigate AI.
Apply at hiring (-at-) artificialanalysis.ai with your resume, github and dot points on relevant experience (including anything you've built). Add | HackerNews to email subject line.
Artificial Analysis | https://artificialanalysis.ai | Full Stack Engineer, ML Engineer, Member of Technical Staff | Onsite in San Francisco or in Australia/New Zealand | Competitive Salary + Equity
Artificial Analysis is an independent AI benchmarking and insights provider. We benchmark AI to help engineers and companies understand AI and make informed decisions regarding which AI technologies to use. We are fast growing with a team of 20 and have backing from investors including Nat Friedman, Daniel Gross & Andrew Ng.
We are hiring for four roles:
1. Full Stack Engineer: Full Stack Engineer to support our benchmarking of AI and with communicating these benchmarks to our users. Proficiency in Typescript & Python required. Familiarity with LLM APIs preferred.
Tech stack: Javascript/Typescript, Node.js, React/Next.js, Python.
2. ML Engineer: ML Engineer to support our benchmarking and evaluation of AI software stack. You will design and run benchmarks and evaluations of different AI models. Strong analytical skills and proficiency in Python required.
3. Member of Technical Staff: You will design evaluations of different AI models and work to translate technical insights to analysis that helps companies navigate AI.
4. Product Manager (AI Media Generation): You'll work closely with us to develop and enhance our media generation (Image, Video, Speech, Music) arenas and leaderboards, contributing to product strategy and execution at the intersection of creativity and AI.
Apply at hiring (-at-) artificialanalysis.ai with your resume, github and dot points on relevant experience (including anything you've built). Add | HackerNews to email subject line.
Artificial Analysis | https://artificialanalysis.ai | Full Stack Engineer & ML Engineer | Onsite in San Francisco or in Australia/New Zealand | Competitive Salary + Equity
Artificial Analysis is an independent AI benchmarking and insights provider. Our benchmarks help engineers and companies understand AI and make informed decisions on AI technologies.
We are hiring for two roles:
1. Full Stack Engineer: Full Stack Engineer to support our benchmarking of AI and with communicating these benchmarks to our users. Proficiency in Typescript & Python required. Familiarity with LLM APIs preferred.
2. ML Engineer: ML Engineer to support our benchmarking and evaluation of AI software stack. You will design and run benchmarks and evaluations of different AI models.
Strong analytical skills and proficiency in Python required.
Apply at hiring (-at-) artificialanalysis.ai with your resume, github and dot points on relevant experience.
Artificial Analysis | https://artificialanalysis.ai | Full Stack Engineer & ML Engineer | Onsite in San Francisco or in Australia/New Zealand | Competitive Salary + Equity
Artificial Analysis is an independent AI benchmarking and insights provider. Our benchmarks help engineers and companies understand AI and make informed decisions on AI technologies and providers.
We are hiring for two roles:
1. Full Stack Engineer:
Full Stack Engineer to support our benchmarking of AI and with communicating these benchmarks to our users. Proficiency in Typescript & Python required. Familiarity with LLM APIs preferred.
2. ML Engineer:
ML Engineer to support our benchmarking and evaluation of AI software stack. You will design and run benchmarks and evaluations of different AI models.
Strong analytical skills and proficiency in Python required.
Apply at hiring (-at-) artificialanalysis.ai with your resume, github and dot points on relevant experience.
This page has up to date information of all models and providers: https://artificialanalysis.ai/leaderboards/providers
We also on other pages cover Speech to Text, Text to Speech, Text to Image, Text to Video.
Note I'm one of the creators of Artificial Analysis.
Artificial Analysis | https://artificialanalysis.ai | Senior Full Stack Software Engineer | Onsite in San Francisco | Competitive salary + Equity
Artificial Analysis is an independent benchmarking, evaluation and insights provider for AI. Our benchmarks let engineers and companies make the best decisions on which technologies and providers to use, empowering them to build the next generation of AI applications.
We are looking for a full stack developer to support us in our analysis of AI and presenting it to the world at https://artificialanalysis.ai/.
Strong analytical skills and proficiency in Typescript & Python required. Familiarity with LLMs and AI scaling laws preferred.
We are hiring for four roles:
1. Full Stack Engineer: Full Stack Engineer to support our benchmarking of AI and with communicating these benchmarks to our users. Proficiency in Typescript & Python required. Familiarity with LLM APIs preferred. Tech stack: Javascript/Typescript, Node.js, React/Next.js, Python.
2. ML Engineer: ML Engineer to support our benchmarking and evaluation of AI software stack. You will design and run benchmarks and evaluations of different AI models. Strong analytical skills and proficiency in Python required.
3. Member of Technical Staff: You will develop benchmarks to test AI models and work to translate technical insights to analysis that helps companies navigate AI.
Apply at hiring (-at-) artificialanalysis.ai with your resume, github and dot points on relevant experience (including anything you've built). Add | HackerNews to email subject line.